





'''simple docstring'''


import unittest

from diffusers.pipelines.pipeline_utils import is_safetensors_compatible






class     lowerCAmelCase__ (				unittest.TestCase    ):

       '''simple docstring'''

       def 			__snake_case      ( self					:				Dict						):
              UpperCAmelCase  =						[
                  '''safety_checker/pytorch_model.bin''',
                  '''safety_checker/model.safetensors''',
                  '''vae/diffusion_pytorch_model.bin''',
                  '''vae/diffusion_pytorch_model.safetensors''',
                  '''text_encoder/pytorch_model.bin''',
                  '''text_encoder/model.safetensors''',
                  '''unet/diffusion_pytorch_model.bin''',
                  '''unet/diffusion_pytorch_model.safetensors''',
              ]
              self.assertTrue(is_safetensors_compatible(a__						)						)

       def 			__snake_case      ( self					:				Union[str, Any]						):
              UpperCAmelCase  =						[
                  '''unet/diffusion_pytorch_model.bin''',
                  '''unet/diffusion_pytorch_model.safetensors''',
              ]
              self.assertTrue(is_safetensors_compatible(a__						)						)

       def 			__snake_case      ( self					:				Union[str, Any]						):
              UpperCAmelCase  =						[
                  '''safety_checker/pytorch_model.bin''',
                  '''safety_checker/model.safetensors''',
                  '''vae/diffusion_pytorch_model.bin''',
                  '''vae/diffusion_pytorch_model.safetensors''',
                  '''text_encoder/pytorch_model.bin''',
                  '''text_encoder/model.safetensors''',
                  '''unet/diffusion_pytorch_model.bin''',
                  # Removed: 'unet/diffusion_pytorch_model.safetensors',
              ]
              self.assertFalse(is_safetensors_compatible(a__						)						)

       def 			__snake_case      ( self					:				Union[str, Any]						):
              UpperCAmelCase  =						[
                  '''text_encoder/pytorch_model.bin''',
                  '''text_encoder/model.safetensors''',
              ]
              self.assertTrue(is_safetensors_compatible(a__						)						)

       def 			__snake_case      ( self					:				Dict						):
              UpperCAmelCase  =						[
                  '''safety_checker/pytorch_model.bin''',
                  '''safety_checker/model.safetensors''',
                  '''vae/diffusion_pytorch_model.bin''',
                  '''vae/diffusion_pytorch_model.safetensors''',
                  '''text_encoder/pytorch_model.bin''',
                  # Removed: 'text_encoder/model.safetensors',
                  '''unet/diffusion_pytorch_model.bin''',
                  '''unet/diffusion_pytorch_model.safetensors''',
              ]
              self.assertFalse(is_safetensors_compatible(a__						)						)

       def 			__snake_case      ( self					:				Tuple						):
              UpperCAmelCase  =						[
                  '''safety_checker/pytorch_model.fp16.bin''',
                  '''safety_checker/model.fp16.safetensors''',
                  '''vae/diffusion_pytorch_model.fp16.bin''',
                  '''vae/diffusion_pytorch_model.fp16.safetensors''',
                  '''text_encoder/pytorch_model.fp16.bin''',
                  '''text_encoder/model.fp16.safetensors''',
                  '''unet/diffusion_pytorch_model.fp16.bin''',
                  '''unet/diffusion_pytorch_model.fp16.safetensors''',
              ]
              UpperCAmelCase  =						'''fp16'''
              self.assertTrue(is_safetensors_compatible(a__       ,     variant=a__						)						)

       def 			__snake_case      ( self					:				Tuple						):
              UpperCAmelCase  =						[
                  '''unet/diffusion_pytorch_model.fp16.bin''',
                  '''unet/diffusion_pytorch_model.fp16.safetensors''',
              ]
              UpperCAmelCase  =						'''fp16'''
              self.assertTrue(is_safetensors_compatible(a__       ,     variant=a__						)						)

       def 			__snake_case      ( self					:				Any						):
              # pass variant but use the non-variant filenames
              UpperCAmelCase  =						[
                  '''unet/diffusion_pytorch_model.bin''',
                  '''unet/diffusion_pytorch_model.safetensors''',
              ]
              UpperCAmelCase  =						'''fp16'''
              self.assertTrue(is_safetensors_compatible(a__       ,     variant=a__						)						)

       def 			__snake_case      ( self					:				Optional[int]						):
              UpperCAmelCase  =						[
                  '''safety_checker/pytorch_model.fp16.bin''',
                  '''safety_checker/model.fp16.safetensors''',
                  '''vae/diffusion_pytorch_model.fp16.bin''',
                  '''vae/diffusion_pytorch_model.fp16.safetensors''',
                  '''text_encoder/pytorch_model.fp16.bin''',
                  '''text_encoder/model.fp16.safetensors''',
                  '''unet/diffusion_pytorch_model.fp16.bin''',
                  # Removed: 'unet/diffusion_pytorch_model.fp16.safetensors',
              ]
              UpperCAmelCase  =						'''fp16'''
              self.assertFalse(is_safetensors_compatible(a__       ,     variant=a__						)						)

       def 			__snake_case      ( self					:				List[str]						):
              UpperCAmelCase  =						[
                  '''text_encoder/pytorch_model.fp16.bin''',
                  '''text_encoder/model.fp16.safetensors''',
              ]
              UpperCAmelCase  =						'''fp16'''
              self.assertTrue(is_safetensors_compatible(a__       ,     variant=a__						)						)

       def 			__snake_case      ( self					:				str						):
              # pass variant but use the non-variant filenames
              UpperCAmelCase  =						[
                  '''text_encoder/pytorch_model.bin''',
                  '''text_encoder/model.safetensors''',
              ]
              UpperCAmelCase  =						'''fp16'''
              self.assertTrue(is_safetensors_compatible(a__       ,     variant=a__						)						)



       def 			__snake_case      ( self					:				Optional[int]						):
              UpperCAmelCase  =						[
                  '''safety_checker/pytorch_model.fp16.bin''',
                  '''safety_checker/model.fp16.safetensors''',
                  '''vae/diffusion_pytorch_model.fp16.bin''',
                  '''vae/diffusion_pytorch_model.fp16.safetensors''',
                  '''text_encoder/pytorch_model.fp16.bin''',
                  # 'text_encoder/model.fp16.safetensors',
                  '''unet/diffusion_pytorch_model.fp16.bin''',
                  '''unet/diffusion_pytorch_model.fp16.safetensors''',
              ]
              UpperCAmelCase  =						'''fp16'''
              self.assertFalse(is_safetensors_compatible(a__       ,     variant=a__						)						)










"""simple docstring"""


from __future__ import annotations

from collections import namedtuple
from dataclasses import dataclass




@dataclass
class 						__UpperCamelCase     :
					lowercase_    :				int
					lowercase_    :				TreeNode | None      =  None
					lowercase_    :				TreeNode | None      =  None


__SCREAMING_SNAKE_CASE   =   namedtuple('CoinsDistribResult', 'moves excess')


def        UpperCAmelCase      (					a__ ):





						'''simple docstring'''






						if root is None:
												return 0

						# Validation
						def count_nodes(a__ ) -> int:
												if node is None:
																		return 0

												return count_nodes(node.left ) + count_nodes(node.right ) + 1

						def count_coins(a__ ) -> int:
												if node is None:
																		return 0

												return count_coins(node.left ) + count_coins(node.right ) + node.data

						if count_nodes(a__ ) != count_coins(a__ ):
												raise ValueError('The nodes number should be same as the number of coins' )

						# Main calculation
						def get_distrib(a__ ) -> CoinsDistribResult:

												if node is None:
																		return CoinsDistribResult(0     ,      1 )

												lowerCAmelCase	, lowerCAmelCase   :Optional[int]						=			get_distrib(node.left )
												lowerCAmelCase	, lowerCAmelCase   :str						=			get_distrib(node.right )

												lowerCAmelCase   :str						=			1 - left_distrib_excess
												lowerCAmelCase   :Optional[Any]						=			1 - right_distrib_excess

												lowerCAmelCase   :Any						=			(
												    left_distrib_moves
												    + right_distrib_moves
												    + abs(a__ )
												    + abs(a__ )
												)
												lowerCAmelCase   :Tuple						=			node.data - coins_to_left - coins_to_right

												return CoinsDistribResult(a__     ,      a__ )

						return get_distrib(a__ )[0]


if __name__ == "__main__":
		import doctest

		doctest.testmod()